Universal musical harmony

Acoustic and biological constraints shape how we hear harmony across cultures.

Sabbi Lall | McGovern Institute for Brain Research • mit
July 1, 2020 ~7 min

Tags: music research school-of-science brain-and-cognitive-sciences center-for-brains-minds-and-machines mcgovern-institute

A new model of vision

Computer model of face processing could reveal how the brain produces richly detailed visual representations so quickly.

Anne Trafton | MIT News Office • mit
March 4, 2020 ~10 min

Tags: machine-learning neuroscience artificial-intelligence research school-of-engineering school-of-science brain-and-cognitive-sciences computer-science-and-artificial-intelligence-laboratory-csail center-for-brains-minds-and-machines national-science-foundation-nsf computer-vision

Demystifying the world of deep networks

Researchers discover that no magic is required to explain why deep networks generalize despite going against statistical intuition.

Kris Brewer | Center for Brains, Minds and Machines • mit
Feb. 28, 2020 ~4 min

Tags: machine-learning artificial-intelligence research brain-and-cognitive-sciences center-for-brains-minds-and-machines electrical-engineering-and-computer-science-eecs

Bridging the gap between human and machine vision

Researchers develop a more robust machine-vision architecture by studying how human vision responds to changing viewpoints of objects.

Kris Brewer | Center for Brains, Minds and Machines • mit
Feb. 11, 2020 ~5 min

Tags: machine-learning artificial-intelligence research school-of-science computer-science-and-technology brain-and-cognitive-sciences center-for-brains-minds-and-machines computer-vision

Differences between deep neural networks and human perception

Stimuli that sound or look like gibberish to humans are indistinguishable from naturalistic stimuli to deep networks.

Kenneth I. Blum | Department of Brain and Cognitive Sciences • mit
Dec. 12, 2019 ~7 min

Tags: machine-learning neuroscience artificial-intelligence research school-of-science brain-and-cognitive-sciences center-for-brains-minds-and-machines mcgovern-institute


Perception of musical pitch varies across cultures

How people interpret musical notes depends on the types of music they have listened to, researchers find.

Anne Trafton | MIT News Office • mit
Sept. 19, 2019 ~9 min

Tags: neuroscience music research behavior school-of-science brain-and-cognitive-sciences center-for-brains-minds-and-machines national-institutes-of-health-nih mcgovern-institute

For better deep neural network vision, just add feedback (loops)

The DiCarlo lab finds that a recurrent architecture helps both artificial intelligence and our brains to better identify objects.

Sabbi Lall | McGovern Institute for Brain Research • mit
April 29, 2019 ~6 min

Tags: artificial-intelligence research autonomous-vehicles school-of-science brain-and-cognitive-sciences center-for-brains-minds-and-machines national-science-foundation-nsf mcgovern-institute computer-vision


Recognizing the partially seen | MIT News

Advances in computer vision inspired by human physiological and anatomical constraints are improving pattern completion in machines.

Kris Brewer | Center for Brains, Minds and Machines • mit
Sept. 20, 2018 ~4 min

Tags:  machine-learning  artificial-intelligence  research  school-of-science  brain-and-cognitive-sciences  center-for-brains-minds-and-machines  computer-modeling  mcgovern-institute  computer-vision

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